Quality

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV benchmark dataset, which includes 2,624 electroluminescence (EL) images of PV cells.

Scientists have quantified the impact of wildfires on the availability of direct normal irradiance and global horizontal irradiance at the state, regional, and national levels in the United States. They have found that direct irradiance is more sensitive to smoke than the PV-relevant global horizontal irradiance.

The PV industry is embracing artificial intelligence and machine learning (ML) techniques to automate operations and maintenance (O&M) diagnostics and predictive analytics in PV systems. More transparency and standard definitions are needed, however, as US-based Sandia Labs scientists Joshua Stein and Marios Theristis explain.

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels.

Thai researchers developed three organic phase-change material (PCM) mixtures with nanoparticles to cool PV modules and improve efficiency. They used lauric acid blended with aluminum oxide, copper oxide, and magnesium oxide in an optimal 94:6 weight ratio, boosting module efficiency by up to 14.11%.

An international research team has created a digital twin that purportedly enables analysis of different scenarios on PV plants’ aerial monitoring. The new tool is claimed to reduce the risk associated with real-world experimentation and help identify the most effective strategies to improve PV system monitoring.

Researchers in Japan have developed an optimized hydrogen gas measurement using TDLAS technique. It is reportedly able to achieve a detection range of hydrogen gas concentration of 0.01% to 100%. The group said that it can improve hydrogen safety and in turn, its adoption.

A Chinese-Italian research team has analyzed the influence of different tilt angles on the thermal failure of the photovoltaic façades or roofs in fire conditions, finding that when the tilt angle exceeds 30 degrees, the time to failure increased significantly.

An international team of scientists have combined cyclic-olefin copolymers with a powder of aluminum oxide to create a filament that can be used by a 3D printer to create anti-reflective covers for PV modules. The proposed innovation can reportedly improve PV cell efficiency by over 25%.

A research group has proposed a novel method to control ramp rates in power networks. Its control optimization is based on weather, load and production forecast data. The scientists simulated the operation of the proposed technique and reached a ramp rate reduction of up to 76.2%.